• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 971 matches

• 2019
• 
  Chris Davis, Jeesun Kim:
  Perceiving Older Adults Producing Clear and Lombard Speech. INTERSPEECH 2019: 3103-3107
• 
  Sebastian Möller, Gabriel Mittag, Thilo Michael, Vincent Barriac, Hitoshi Aoki:
  Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios. INTERSPEECH 2019: 3436-3440
• 
  Pingchuan Ma, Stavros Petridis, Maja Pantic:
  Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition. INTERSPEECH 2019: 4090-4094
• 
  Li Chai, Jun Du, Chin-Hui Lee:
  KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement. INTERSPEECH 2019: 1806-1810
• 
  Li Chai, Jun Du, Chin-Hui Lee:
  A Cross-Entropy-Guided (CEG) Measure for Speech Enhancement Front-End Assessing Performances of Back-End Automatic Speech Recognition. INTERSPEECH 2019: 3431-3435
• 
  Mingyang Zhang, Xin Wang, Fuming Fang, Haizhou Li, Junichi Yamagishi:
  Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet. INTERSPEECH 2019: 1298-1302
• 
  Jing Shi, Jiaming Xu, Bo Xu:
  Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation. INTERSPEECH 2019: 4609-4613
• 
  Yanping Chen, Hongxia Jin:
  Rare Sound Event Detection Using Deep Learning and Data Augmentation. INTERSPEECH 2019: 619-623
• 
  Yi Zhao, Atsushi Ando, Shinji Takaki, Junichi Yamagishi, Satoshi Kobashikawa:
  Does the Lombard Effect Improve Emotional Communication in Noise? - Analysis of Emotional Speech Acted in Noise. INTERSPEECH 2019: 3292-3296
• 
  Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye:
  Nonparallel Emotional Speech Conversion. INTERSPEECH 2019: 2858-2862
• 
  Sheng Li, Chenchen Ding, Xugang Lu, Peng Shen, Tatsuya Kawahara, Hisashi Kawai:
  End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition. INTERSPEECH 2019: 2145-2149
• 
  Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders:
  A Path Signature Approach for Speech Emotion Recognition. INTERSPEECH 2019: 1661-1665
• 
  Abdalghani Abujabal, Judith Gaspers:
  Neural Named Entity Recognition from Subword Units. INTERSPEECH 2019: 2663-2667
• 
  Nagaraj Adiga, Yannis Pantazis, Vassilis Tsiaras, Yannis Stylianou:
  Speech Enhancement for Noise-Robust Speech Synthesis Using Wasserstein GAN. INTERSPEECH 2019: 1821-1825
• 
  Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
  My Lips Are Concealed: Audio-Visual Speech Enhancement Through Obstructions. INTERSPEECH 2019: 4295-4299
• 
  Wiehan Agenbag, Thomas Niesler:
  Improving Automatically Induced Lexicons for Highly Agglutinating Languages Using Data-Driven Morphological Segmentation. INTERSPEECH 2019: 3515-3519
• 
  Purvi Agrawal, Sriram Ganapathy:
  Unsupervised Raw Waveform Representation Learning for ASR. INTERSPEECH 2019: 3451-3455
• 
  Wiebke Ahlers, Philipp Meer:
  Sibilant Variation in New Englishes: A Comparative Sociophonetic Study of Trinidadian and American English /s(tr)/-Retraction. INTERSPEECH 2019: 291-295
• 
  Mohsin Y. Ahmed, Md. Mahbubur Rahman, Jilong Kuang:
  DeepLung: Smartphone Convolutional Neural Network-Based Inference of Lung Anomalies for Pulmonary Patients. INTERSPEECH 2019: 2335-2339
• 
  Alejandro Gómez Alanís, Antonio M. Peinado, José A. González, Angel M. Gomez:
  A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection. INTERSPEECH 2019: 1068-1072
• 
  Rachel Albar, Hiyon Yoo:
  Phonological Awareness of French Rising Contours in Japanese Learners. INTERSPEECH 2019: 2548-2552
• 
  Luciana Albuquerque, Catarina Oliveira, António J. S. Teixeira, Pedro Sá-Couto, Daniela Figueiredo:
  Age-Related Changes in European Portuguese Vowel Acoustics. INTERSPEECH 2019: 3965-3969
• 
  Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny, Melvin G. McInnis, Emily Mower Provost:
  Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. INTERSPEECH 2019: 1926-1930
• 
  Ahmed Ali, Salam Khalifa, Nizar Habash:
  Towards Variability Resistant Dialectal Speech Evaluation. INTERSPEECH 2019: 336-340
• 
  K. N. R. K. Raju Alluri, Anil Kumar Vuppala:
  IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019. INTERSPEECH 2019: 1043-1047
• 
  Kowovi Comivi Alowonou, Jianguo Wei, Wenhuan Lu, Zhicheng Liu, Kiyoshi Honda, Jianwu Dang:
  Acoustic and Articulatory Study of Ewe Vowels: A Comparative Study of Male and Female. INTERSPEECH 2019: 1776-1780
• 
  Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava:
  Deep Residual Neural Networks for Audio Spoofing Detection. INTERSPEECH 2019: 1078-1082
• 
  Shounan An, Youngsoo Kim, Hu Xu, Jinwoo Lee, Myungwoo Lee, Insoo Oh:
  Robust Keyword Spotting via Recycle-Pooling for Mobile Game. INTERSPEECH 2019: 3661-3662
• 
  Guozhen An, Rivka Levitan:
  Mitigating Gender and L1 Differences to Improve State and Trait Recognition. INTERSPEECH 2019: 506-509
• 
  Atsushi Ando, Ryo Masumura, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono:
  Speech Emotion Recognition Based on Multi-Label Emotion Existence Model. INTERSPEECH 2019: 2818-2822

skipping 941 more matches